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Detection on auto clickers in mobile
games* Shing Ki Wong and Siu Ming Yiu+ The University of Hong Kong, Pokfulam, Hong Kong {skwong, smyiu}@cs.hku.hk Abstract Mobile games are becoming more and more popular
nowadays. According to Statista, the gaming revenue rises rapidly from 17.6
billion to 40.6 billion from 2013 to 2017. It gradually becomes a big market
in the game industry. Game companies are putting more and more focus and
resources on their mobile game development. On the other hand, with such a
rapid growth of the number of mobile games developed everyday, cheating
software developers are also taking advantage of it by implementing and
selling cheating software for money. Some famous mobile games (e.g. FIFA
Mobile, NBA Live Mobile, Madden NFL Mobile) include a live market in game for
users to trade game items online. This feature is convenient and provides
users a unique kind of interactive gaming experience. However, cheaters can
take advantage of this feature by implementing auto clickers to automatically
buy and bid items in game 24 hours a day effortlessly. In this paper, we are
going to investigate this kind of game cheat and propose a detection
methodology to determine whether auto clicking behaviour exists. We analyze
the touch input behaviour of the client by calculating the clicking
dispersion of the touch inputs and the average number of clicks performed per
second. Experiment results show that there is a significant difference
between the behaviour of auto clickers and human users in term of their
clicking positions and frequencies. Our method is easy to implement and the
memory consumption is reasonable and practical. Keywords: security in
mobile games, auto clickers, user behavior, detection of auto clickers The preliminary version of this paper is presented at
the 2019 WISA Workshop. (https://www.manuscriptlink.com/society/kiisc/conference/wisa2019/workshop) +: Corresponding
author: Siu Ming Yiu Journal of Wireless Mobile Networks, Ubiquitous
Computing, and Dependable Applications (JoWUA) Vol. 10,
No. 3, pp.65-80, September 2019 [pdf] Received: August 9, 2019; Accepted:
September 10, 2019; Published: September 30, 2019 DOI: 10.22667/JOWUA.2019.09.30.065 |